RAG is dead, long live agentic retrieval

Retrieving the right documents for a customer service bot isn't as simple as dropping in a RAG pipeline.

While Retrieval-Augmented Generation has become the go-to approach for grounding LLMs in enterprise knowledge, it often falls short when context complexity grows. This article from LlamaIndex explores emerging retrieval strategies that go beyond static vector searches-highlighting how agentic retrieval can dynamically adapt to the type of content, query, and workflow. If you're building AI systems that rely on precision, this is a useful look at what comes after traditional RAG.